SAA-C03 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

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Question # 233

A finance company has a web application that generates credit reports for customers. The company hosts the frontend of the web application on a fleet of Amazon EC2 instances that is associated with an Application Load Balancer (ALB). The application generates reports by running queries on an Amazon RDS for SQL Server database.

The company recently discovered that malicious traffic from around the world is abusing the application by submitting unnecessary requests. The malicious traffic is consuming significant compute resources. The company needs to address the malicious traffic.

Which solution will meet this requirement?

Use AWS WAF to create a web ACL. Associate the web ACL with the ALB. Update the web ACL to block IP addresses that are associated with malicious traffic.

Use AWS WAF to create a web ACL. Associate the web ACL with the ALB. Use the AWS WAF Bot Control managed rule feature.

Set up AWS Shield to protect the ALB and the database.

Use AWS WAF to create a web ACL. Associate the web ACL with the ALB. Configure the AWS WAF IP reputation rule.

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Question # 234

An ecommerce company runs an application that uses an Amazon DynamoDB table in a single AWS Region. The company wants to deploy the application to a second Region. The company needs to support multi-active replication with low latency reads and writes to the existing DynamoDB table in both Regions.

Which solution will meet these requirements in the MOST operationally efficient way?

Create a DynamoDB global secondary index (GSI) for the existing table. Create a new table in the second Region. Convert the existing DynamoDB table to a global table. Specify the new table as the secondary table.

Enable Amazon DynamoDB Streams for the existing table. Create a new table in the second Region. Create a new application that uses the DynamoDB Streams Kinesis Adapter and the Amazon Kinesis Client Library (KCL). Configure the new application to read data from the DynamoDB table in the first Region and to write the data to the new table in the second Region.

Convert the existing DynamoDB table to a global table. Choose the appropriate second Region to achieve active-active write capabilities in both Regions.

Enable Amazon DynamoDB Streams for the existing table. Create a new table in the second Region. Create an AWS Lambda function in the first Region that reads data from the table in the first Region and writes the data to the new table in the second Region. Set a DynamoDB stream as the input trigger for the Lambda function.

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Question # 235

A company is developing a social media application. The company anticipates rapid and unpredictable growth in users and data volume. The application needs to handle a continuous high volume of user requests. User requests include long-running processes that store large amounts of user-generated content and user profiles in a relational format. The processes must run in a specific order. The company requires an architecture that can scale resources to meet demand spikes without downtime or performance degradation. The company must ensure that the components of the application can evolve independently without affecting other parts of the system. Which combination of AWS services will meet these requirements?

Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Queue Service (Amazon SQS) to decouple message processing between components.

Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.

Use Amazon DynamoDB as the database. Use AWS Lambda functions to implement the application. Configure Amazon DynamoDB Streams to invoke the Lambda functions. Use AWS Step Functions to manage workflows between services.

Use an AWS Elastic Beanstalk environment with auto scaling to deploy the application. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.

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Question # 236

An ecommerce company is planning to migrate an on-premises Microsoft SQL Server database to the AWS Cloud. The company needs to migrate the database to SQL Server Always On availability groups. The cloud-based solution must be highly available.

Options:

Deploy three Amazon EC2 instances with SQL Server across three Availability Zones. Attach one Amazon Elastic Block Store (Amazon EBS) volume to the EC2 instances.

Migrate the database to Amazon RDS for SQL Server. Configure a Multi-AZ deployment and read replicas.

Deploy three Amazon EC2 instances with SQL Server across three Availability Zones. Use Amazon FSx for Windows File Server as the storage tier.

Deploy three Amazon EC2 instances with SQL Server across three Availability Zones. Use Amazon S3 as the storage tier.

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Question # 237

A company is redesigning a static website. The company needs a solution to host the new website in the company's AWS account. The solution must be secure and scalable.

Which combination of solutions will meet these requirements? (Select THREE.)

Configure an Amazon CloudFront distribution. Set the Amazon S3 bucket as the origin.

Associate an AWS Certificate Manager (ACM) TLS certificate to the Amazon CloudFront distribution.

Enable static website hosting for the Amazon S3 bucket.

Create an Amazon S3 bucket to store the static website content.

Export the website's SSL/TLS certificate from AWS Certificate Manager (ACM) to the root of the Amazon S3 bucket.

Turn off Block Public Access for the Amazon S3 bucket.

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Question # 238

A company uses an Amazon Aurora PostgreSQL provisioned cluster with its application. The application's peak traffic occurs several times a day for periods of 30 minutes to several hours.

The database capacity is provisioned to handle peak traffic from the application, but the database has wasted capacity during non-peak hours. The company wants to reduce the database costs.

Which solution will meet these requirements with the LEAST operational effort?

Set up an Amazon CloudWatch alarm to monitor database utilization. Scale up or scale down the database capacity based on the amount of traffic.

Migrate the database to Amazon EC2 instances in on Auto Scaling group. Increase or decrease the number of instances based on the amount of traffic.

Migrate the database to an Amazon Aurora Serverless DB cluster to scale up or scale down the capacity based on the amount of traffic.

Schedule an AWS Lambda function to provision the required database capacity at the start of each day. Schedule another Lambda function to reduce the capacity at the end of each day.

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Question # 239

A company runs HPC workloads requiring high IOPS.

Which combination of steps will meet these requirements? (Select TWO)

Use Amazon EFS as a high-performance file system.

Use Amazon FSx for Lustre as a high-performance file system.

Create an Auto Scaling group of EC2 instances. Use Reserved Instances. Configure a spread placement group. Use AWS Batch for analytics.

Use Mountpoint for Amazon S3 as a high-performance file system.

Create an Auto Scaling group of EC2 instances. Use mixed instance types and a cluster placement group. Use Amazon EMR for analytics.

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Question # 240

A company has a payroll application that runs in the AWS Cloud. The application uses an Amazon Aurora MySQL database cluster for data storage.

The companyâ€™s auditing team needs to review the last 90 days of payroll data. A solutions architect needs to design a solution to provide the auditing team access to the payroll data.

Which solution will meet these requirements with the MOST operational efficiency?

Use Aurora automated backups. Restore the database by using point-in-time recovery.

Create a backup plan by using AWS Backup with point-in-time recovery. Restore the database by using the backups from the backup vault.

Create daily manual backups of the Aurora cluster for the last 90 days. Restore the databases by using the backups. Delete the older backup files by using scripted CLI calls.

Create a backup plan by using AWS Backup with the daily backup option. Set the retention to 90 days. Restore the database by using the backups from the backup vault.

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